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Making the most of individual differences in joint decisions

An Interdisciplinary Approach

Bibliographic Data

ID19150552
AuthorsJoëlle Proust (0000-0001-8466-0548), Bahador Bahrami (0000-0001-8496-2255, corresponding author)
Year2018
Pages480
Publication date2018-05-24
Open AccessNo
TypeBOOK
VenueMetacognitive Diversity (SOURCE_BOOK)
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/oso/9780198789710.003.0004
OpenAlexW2804533909
Open LibraryOL27368988M
ISBN9780198789710
LanguageEN
Citations received1

Evidence for and against the idea that “two heads are better than one” is abundant. This chapter considers the contextual conditions and social norms that predict madness or wisdom of crowds to identify the adaptive value of collective decision-making beyond increased accuracy. Similarity of competence among members of a collective impacts collective accuracy, but interacting individuals often seem to operate under the assumption that they are equally competent even when direct evidence suggest the opposite and dyadic performance suffers. Cross-cultural data from Iran, China, and Denmark support this assumption of similarity (i.e., equality bias) as a sensible heuristic that works most of the time and simplifies social interaction. Crowds often trade off accuracy for other collective benefits such as diffusion of responsibility and reduction of regret. Consequently, two heads are sometimes better than one, but no-one holds the collective accountable, not even for the most disastrous of outcomes

Cognitive psychology · Crowds · Economics · Machine learning · Positive economics · Regret · Computer Science · Opinion Dynamics and Social Influence · Psychology · Social Psychology · Metacognition · Artificial Intelligence

  • Introducing a Wisdom of the Crowd’s Process Model for Achieving Effective Crowd Performance

    Open Access•Ji Yu, Ali Intezari Harsini et al.•Group Decision and Negotiation•2026

Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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